Urban Rail Cloud Solution

The urban rail cloud platform centrally carries ISCS, AFC, PIS, ACS, CCTV, and other application systems. The platform integrates resources, and standardizes architecture and data. This contributes to resource sharing, on-demand allocation, and flexible scaling supported by holistic operations, collaborative services, standardized and normalized services and data, as well as unified and platform-based resources and architecture. The platform assists customers to transform from single-line to multiple-line operations, and lays a solid foundation for closer service linkage and Big Data analytics.

The hierarchical intracity remote disaster recovery architecture provides different services with specific reliability mechanisms such as an active-active for mission-critical services that eliminates service interruption and VM cluster backup, and other mechanisms for non-critical services. The VM live migration mechanism is also adopted to ensure service continuity even with faulty physical devices. The FusionSphere virtualizes computing, network, and storage resources into virtual resource pools and supports cluster deployment. Large-bandwidth DWDM networks are used for transmission. This scheme achieves dual-activation for mission-critical urban rail services between the active and standby data centers and ensures 24/7 service availability. The disaster recovery capabilities are significantly improved.

The passenger services, management information, and safe operations networks in the urban rail cloud information system are isolated. An information security protection plan, in compliance with China’s national Level 3 information security standards, is used for the operations network. An overall security framework is also designed for the ICT-based cloud platform to guarantee effective security protection for the cloud platform, O&M, and infrastructure layers.

Energy-efficient modular data centers integrate power supply and distribution, cooling, security protection, power and environment monitoring systems, as well as cabinets. The modular design enables rapid deployment and meets energy saving and reliability requirements. Digital components supporting intelligent management, real-time running status monitoring, and automatic fault location improve O&M efficiency. Multiple energy-saving measures reduce the PUE to 1.45.